A Framework for Data Privacy Preserving in Supply Chain Management Using Hybrid Meta-Heuristic Algorithm with Ethereum Blockchain Technology

Abstract

Blockchain is a recently developed advanced technology. It has been assisted by a lot of interest in a decentralized and distributed public ledger system integrated as a peer-to-peer network. A tamper-proof digital framework is created for sharing and storing data, where the linked block structure is utilized to verify and store the data. A trusted consensus method has been adopted to synchronize the changes in the original data. However, it is challenging for Ethereum to maintain security at all blockchain levels. As such, “public–private key cryptography” can be utilized to provide privacy over Ethereum networks. Several privacy issues make it difficult to use blockchain approaches over various applications. Another issue is that the existing blockchain systems operate poorly over large-scale data. Owing to these issues, a novel blockchain framework in the Ethereum network with soft computing is proposed. The major intent of the proposed technology is to preserve the data for transmission purposes. This new model is enhanced with the help of a new hybrid algorithm: Adaptive Border Collie Rain Optimization Algorithm (ABC-ROA). This hybrid algorithm generates the optimal key for data restoration and sanitization. Optimal key generation is followed by deriving the multi objective constraints. Here, some of the noteworthy objectives, such as information preservation (IP) rate, degree of modification (DM), false rule (FR) generation, and hiding failure (HF) rate are considered. Finally, the proposed method is successfully implemented, and its results are validated through various measures. The recommended module ensures a higher security level for data sharing.

Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques

“…Combining these approaches, PPTs can ensure the safety of the applicant's data and compliance with data protection regulations. Furthermore, it can also enable the detection of anomalies and prevent malicious activities 100 . While selecting the appropriate methods, we should consider the requirements such as privacy level, data type, analysis or prediction task, and computational overhead.…”

“…Feedback loops are critical for effective functioning. It can provide valuable information about false positives and negatives, improving anomaly detection accuracy, refining thresholds, and enhancing overall performance 100 . Dynamic adaption made the adjustments by consensus parameters or security measures and mitigated the potential attacks based on anomaly detection.…”

From Hype to Reality: Unveiling the Promises, Challenges and Opportunities of Blockchain in Supply Chain Systems

“…Supply chain management typically involves managing and preserving producer relationships with vendors, administration, and customers to provide higher customer value at a lower cost. The notion of the Internet of Things (IoT), which enables the use of numerous intelligent actuators and sensors connected to the Internet, provides creative ways for monitoring the movement of goods and commodities essential to supply chains [13,14]. It specifically addresses the essential element of supply chain management-the seamless exchange of information about a product between parties involved in its entire life cycle.…”

Revocable Signature Scheme with Implicit and Explicit Certificates

“…It is easy to see that the last step is heuristic in nature. In practice, the heuristics are successfully used for problem solving (e.g., [ 34 , 35 , 36 , 37 ]). However, the security proof in the oracle model can only be treated as a heuristic argument for the security of the cryptographic scheme, but without a guarantee for the security of its real implementation (Bellare and Rogaway [ 38 ]).…”